Better exploration with parameter noise

OpenAI Blog · 8 years ago

Researchers added adaptive noise to reinforcement learning algorithm parameters and found it improved performance across tests. The technique showed consistent gains with minimal implementation complexity and no documented cases of performance degradation. This suggests parameter noise should become a standard exploration method to test on new reinforcement learning problems.